FREQUENCY SEPARATION

24
RETOUCH FREQUENCY SEPARATION Mechanics of the method: Low frequencies set the general distribution of volume and color. Medium frequencies specify this picture bringing the main volumes of objects. High frequencies add the fine details — texture surfaces.

Transcript of FREQUENCY SEPARATION

RETOUCH

FREQUENCY SEPARATION

Mechanics of the method:

Low frequencies set the general distribution of volume and color.

Medium frequencies specify this picture bringing the main volumes of objects.

High frequencies add the fine details — texture surfaces.

Within the Photoshop craft, the separation of frequencies in

images can be utilized for retouching. While there are a number

of ways to implement the Frequency Separation technique.

Typically, we break down the information data in our images into

high and low frequencies.

To get high frequencies, apply the filter High Pass (Filter > Other

> High Pass) on copy of the Background (Original Image) and

slowly move the Radius slider from zero up. At this point you can

see how image changes from fine details to bulky textures and

volumes. Applied radius is the upper limit of high frequencies. In

the example below, the received High Frequencies from 1 to 10

pixels.

We got a tonal map from 1 to 10 pixels which can be applied to the image using the contrast

blending modes: soft light, overlay, hard light, vivid light, linear light. Let's choose the most

contrast - linear light and analyze the result.

As we know, high frequencies are responsible for micro contrast and local contrast in the image,

so after applying the tonal map with a radius of 10px (1 – 10 pixels), we increased the image detail,

rather we have increased the emphasis on existing.

Very little is left to do to complete the frequency separation. As we increased the details from 1 to

10 pixels, it is necessary to remove them on another layer. To do this, turn off the visibility tone

map and create another copy of the original image and place it under the tonal map. Then apply

the filter Gaussian Blur with same radius as High Pass. As result we get layer without details from

1 to 10 pixels. Resulting layer represents low frequencies (overall volume and color).

Since the linear light is much contrast blending mode, reduce fill of the tone map (High Pass

Layer) to 50 percent. That's all! We got 2 frequencies with ranges from 1 to 10 pixels (micro and

local contrast) and 10+ pixels (overall volume and color).

Blending mode Linear Light presupposes the doubling of the contrast, to compensate it we reduce

Fill to 50. There’s a number of ways how to do that:

This can be achieved using Curves, if you raise

black point to position (0; 64) and lower white

point to position (255; 192). The central point

should be fixed at (128, 128).

You can decrease contrast at

Brightness/Contrast with Contrast setup at -50

and activated key Use Legacy.

Curves or Brightness/Contrast can be used on

the tonal map itself (Image-Edit-Curves). What

you can also do is use adjustment layer by

clipping it to the tonal map (use Clip to Layer).

Separation into two frequency bands. Radius selection.

Radius of High Pass is easier to pick up gradually decreasing it until you lost unnecessary volumes. In other words, we need to get texture surfaces on High Frequencies Layer with the High Pass filter and delete this texture from Low Frequencies layer with the Gaussian Blur filter.

For High Pass it is better to set small radius, to fetch out small detalization.

Gaussian Blur radius is better to adjust smoothly. Keep increasing it until the unnecessary details are no more visible.

For Gaussian Blur it is better to set big radius to get rid of small detalization as much as

possible and at the same time keep the information only about brightness and color distribution.

If the shape is most important then it is better to adjust radius according to the content of

LF (blurred picture)

If surface texture is most important then it is better to adjust radius according to the content of HF («high-pass» image)

To be able to revert to an initial state a retouch makes the copy of the High Frequencies layer with

use of the command Create Clipping Mask and applying normal blending mode. Do retouching on

the attached copy (Retouch High Frequencies) of the high frequency layer (Tonal Map).

How we can use it?

High frequencies in an image will contain information about fine details, such as skin pores, hair,

fine lines, skin imperfections (acne, scars, fine lines, etc.) and can be utilized for retouching.

Radius of High Pass easier to pick up gradually decreasing it until you lost unnecessary volumes.

In other words, we need get texture surfaces on High Frequencies Layer with the High Pass filter

and delete this texture from Low Frequencies layer with the Gaussian Blur filter.

Next settings allow to do a retouch visualizing only the information about fine details of the image.

Change blending mode of High Frequencies layer (Tonal Map) to normal and Fill to 100%. In the

view to be displayed the tonal map. For some, this method of imaging more convenient. You can

also increase the contrast using the curves adjustment layer to detail were even more

distinguished. Than you can make retouch of High Frequencies on attached layer (Retouch High

Frequencies). After retouching it is necessary to disable the curves adjustment layer and change

blending mode of the High Frequencies back to linear light and Fill to 50%.

For retouching on High Frequencies Layer, we can use the tools:

Clone Stamp Tool (S)

Healing Brush Tool (J)

Clone Stamp Tool Settings:

Healing Brush Tool Settings:

With such settings tools necessary to work on the High Frequencies layer. To use Clone

Stamp and Healing brush tools, you set a sampling point on the area you want to copy

(clone) the pixels from and paint over another area.

To set the sampling point, select the Clone Stamp or Healing brush tool and Alt-click

(Windows) or Option-click (Mac OS).

You can change the sampling source for a Clone Source button by setting a different

sampling point.

To be able to revert to an initial state a retouch makes the copy of the High Frequencies

layer with use of the command Create Clipping Mask and applying normal blending mode.

Do retouching on the attached copy (Retouch High Frequencies) of the high frequency

layer (Tonal Map).

Low frequencies are the image data that contains information about volume, tone and color

transitions. In other words: shadows and light areas, colors and tones. If you look at only the low

frequency information of an image, you might be able to recognize the image, but it will not hold

any precise detail.

The radius of the Gaussian Blur easier to pick up gradually increasing it until you lost unnecessary

fine details.

For retouching on Low Frequencies Layer, we can use the tools:

Clone Stamp

Mixer Brush

All the numbering settings should correspond to number 20.

The tool is available in Photoshop version starting from CS5 and can be found under the "Brush

tool” tool family on the last position. The tool is intended to simulate the manipulations with the

brush and colors in reality – with real colorants on paper. All the settings are resulting from the

real physical processes.

The work is held on the new clean layer over the layer with LF. All the layers, which are

located higher, are disabled. Use the brush across the details that you want to remove and

along the details that you want to keep. The brush with soft edges (hardness=0), its radius

we adjust for the work with details of corresponding dimensions. The smaller the detail, the

smaller should be the brush radius.

Minimum Diameter allows you to perform gentler strokes.

To be able to revert to an initial state a retouch makes on the copy of the Low Frequencies

layer and applying normal blending mode. Change the setting of brush to Sample: Current

& Below.

Low frequency Despeckle:

Use the stamp with soft brush and reduced opacity (10% for a beginner using a mouse, 20%

for a beginner using a pad, 30% for a regular user with a pad)

You can work on a new transparent layer with stamp settings Sample: Current & Below

At the same time the main view of the image can be displayed on the screen, not just the

LF of the layer.

You can also use brush or any other tool to paint if needed.

Brush Setting for graphics tablet:

Open the brush settings in the top panel

Brush Tip Shape

In this menu it is essential to mark with a tick the field “Spacing” and set the size of 25%.

Set this parameter to adjust the density of the brush. Keep in mind that, the less the

percentage you have, the thicker brush you will have and the more overloaded will be your

PC. And vice versa – the more the percentage, the less is the density and the less your

computer gets overloaded.

Shape Dynamics

Control - Pen Pressure (reinstall the pad driver if you see an exclamation mark in this field)

Minimum Diameter - 50% this parameter should be set individually. You need to

understand, that the more percentage you have, the less is the possibility to make a thin

line without changing the size of the brush, but at the same time it allows you to make

strokes more smooth and stippling.

Transfer

Control - Pen Pressure (reinstall the pad driver if you see an exclamation mark in this field)

Pen Pressure parameter allows to use of pen’s response to pressing, which facilitates the

Despeckle process a lot.

If in one of the fields you see the exclamation mark it may mean that Photoshop doesn’t recognize

you are using your pad. To make it understand that you are working via your pad, click on any

image in Photoshop.

Easy way to remove medium frequencies.

We already know how to make frequency separation of an image using High pass and Gaussian

blur filters. Before we played fair and kept all the details on high and low frequency layers. We can

also afford ourselves to be a bit lazy and lose in quality. For example, if we place details, say 1 to 4

pixels large on a tonal map and at the same time remove the higher range of 1 to 12 pixels on a low

frequency layer (Gauss blur radius – 12), then we will remove the range of 4 to 12 pixels and thus

remove its excessive local volumes.

It would be good, but on contrast borders we can see mattes. That’s why we place layers with

frequency into the group and create a black mask. By painting with the white brush over the black

mask we can locally remove the unnecessary volumes. I would also like to emphasize that such

type of despeckle speeds up the work a lot, but we lose in quality instead.

Remove medium frequencies using Smart Object.

Let us remove medium frequencies the same but a bit more elegant way. Smart object allows to

apply a number of filters to one layer at the same time, that’s why we will only need one copy of

the original image. Let us create a copy the original image, invert it (Ctrl+I) and set transparency

to 50%. We are almost there, what we only need is convert the image into the Smart Object.

To do that we go to Filter-Others-High Pass. As we are working now with the inverted copy, High

Pass will be used as Gaussian Blur. We only need to adjust the blur radius, increase it until the

unnecessary volumes on the image disappear.

Now let us restore the small detalization on the image. To achieve that use Gaussian Blur. Keep

reducing the value until the needed small detalization restores. There is one unspoken rule: high

frequency radius should not be more than 3 times bigger or smaller than low frequency radius.

E.g.: If High Pass radius is 12 pixels, then Gaussian blur radius will be approximately 4 pixels.

This type of medium frequency removing is rather convenient as we apply filters to the Smart

Object, which means that we can change the radius values any time we want. And now as

mentioned in the example above we need to create a black mask and while painting on it with the

white brush we will be able to smooth the needed parts of the image fast enough.

Image separation into several frequencies.

Let’s learn how to separate an image into several frequency ranges. As a matter of fact, we can

get the tonal map of any frequency range. Create a copy of the original image and apply high pass

filter with radius 10 to it. As a result, we will have a tonal map with the frequency range from 1 to

10 pixels. To combine the tonal map with the layer below we should change the blend mode of

the map to the Linear light. Blend mode Linear Light presupposes the doubling of the contrast; to

compensate it we reduce Fill up to 50. You can do the same with the help of curves and

brightness/contrast.

What we just did basically leads to increase in detalization range from 1 to 10 pixels (sharpen and

local contrast). To compensate that we should create another copy of the original image, place it

on the layers palette beneath the tonal map and use Gaussian blur on it in the value of 10 pixels.

Apparently we will have a low frequency layer with the range of 10+ pixels. Up to this moment we

have gone through the same steps as we did before: separated the image into 2 frequency ranges

from 1 to 10 (High frequency) and 10+ (Low frequency).

Now let us get rid of the frequencies on the high frequency layer by applying Gaussian blur to it

with radius value of 4 pixels. The radius value will correspond to the lower limit of this tonal map’s

frequency range. In other words, the high frequency layer has no more detalization in range of 1

to 4 pixels and its range has become equal 4 to 10 pixels.

To restore the deleted details let us create one more copy of the original image. Place it over the

tonal map layer with the range of 4 to 10 pixels and apply high pass filter to it with the range of 4

pixels. As a result, we will have a tonal map with the range of 1 to 4 pixels. Apply Blend Mode - >

Linear Light to it and compensate the contrast doubling by applying Brightness/Contrast or

reducing Fill to 50.

We managed to restore the original image, but now the information of its detalization and volume

is represented on three layers. We can continue separation process by applying Gaussian blur to

the tonal map with the range of 1 to 4 pixels with the needed radius, say – 2 pixels. Then we will

have to create one more copy of the original image and restore the detalization via high pass filter,

by applying the same radius value we had in Gaussian blur. The main idea is to make you

understand that we can actually get tonal maps of the needed tone ranges.

High pass filter allows to select the frequencies, whereas Gaussian blur allows to delete the

frequencies. With the help of Blend Mode - > Linear Light you can combine the blanks but don’t

forget to reduce the contrast two times.

We can get an original image by adding together the high and low frequency layers, because the

same algorithm is used for High pass filter and Gaussian blur. Let us double check it and use

another method of frequency separation. By the way this method is more “honest” as high pass

filter fails when the brightness offset is strong (brightest pixels are sometimes grayed out). But

this is not the reason to give it up, as this method makes it very convenient to visualize image’s

small detalization.

For this example, I will start separation from the low frequencies. It will be easier to understand

that the algorithm used for the High pass filter and for Gaussian blur is the same. Also it will help

understand better the following examples of frequency separation.

Separation into two frequency components using Apply Image

Create copy of the original image and apply the filter Gaussian Blur with 10px. As result we get

layer without details from 1 to 10 pixels. Resulting layer represents low frequencies (overall volume

and color).

Create another copy of the original image and place it above the Low Frequencies layer. Go to

Image-Apply Image, choose settings: layer: low frequencies layer, blending: subtract, scale: 2 and

offset: 128 and click OK. This is the method we use to subtract the low frequency layer (range 10+)

from the original image’s copy and get the tonal map of high frequencies (range 1-10 pixels).

Same as we did in the abovementioned examples - change the blend mode of the tonal map and

put together high and low frequency layers. If we use this method, we don’t really need to reduce

the contrast of the tonal map. We already do that on the step where we subtract and set scale:2.

To avoid calculation mistakes when working with 16bit images you should set the following parameters: blending: Add, Invert is checked and settings: Scale – 2, Offset – 0.

Separation into two frequency components using Surface Blur filter

We made sure that Gaussian blur and High pass filter have the same algorithm. It has a drawback

though, on the contrast borders we can see the color of the adjacent areas. “Apply Image”

separation method allows to subtract any raster layer from the other. So let us try using Surface

blur instead of Gaussian blur. Let’s create a layer copy and apply Surface blur to it (radius 15,

threshold 50) Adjust the radius by increasing it until the unnecessary elements disappear from the

image (threshold value - 255). Next thing to do is adjust the threshold value. Threshold: 50 levels

mean difference between brightness of pixels that will be affected. If difference in brightness

more than 50 levels, pixels will be not affected. The smaller the threshold value, the less will be

the contrast areas blurred. Keep decreasing the threshold until you get rid of the color mixing of

the adjacent areas on the contrast borders however keep the needed areas blurred. Normally the

threshold value is 2-4 times bigger than the radius value.

Now we need to subtract the blurred image from the original’s copy to get the high frequency

tonal map (small details). To do that we should create a copy of the original image, then go to

Image-Apply Image, choose settings: layer: low frequencies layer, blending: subtract, scale: 2 and

offset: 128 and click OK.

Change the blend mode of the tonal map to Linear Light to combine tonal map with the blurred

layer.

Such separation method is convenient as on the contrast borders we don’t have any color mixing.

This allows retouching photos faster.

Separation into two frequency components using Oil Paint filter.

Now I hope you get the idea of what the Apply Image frequency separation method is. But let us

check one more example. This time we will use the Oil Paint filter. (This option is restored in СС

2015.5 version)

Let us create a copy of the original image, then go Filter-Stylize-Oil Paint. Set the following

parameters: Stylize – 8, Clean lines – 6, Scale – 0.8, Bristle Detail – 10, Lighting – Off.

Let’s create one more copy of the original image and place it above the Oil Paint layer. Now go to

Image -Apply Image, choose settings: layer: low frequencies layer, blending: subtract, scale: 2 and

offset: 128 and click OK. Change the blend mode of the tonal map to Linear Light to combine tonal

map with the blurred layer.

As a result, we have a low frequency layer blurred with Oil Paint filter and a high frequency layer.

To keep only small detalization on the High frequency layer, apply High Pass filter to it with radius

value of 1-2 pixels.

Then place the frequency layers into the group and create a black mask on it. Now when you paint

with white brush over the mask you can retouch hair, make it more smooth and straight.

Three frequency bands applying Surface Blur filter

Let us now make an image separation into three frequencies applying Surface Blur filter. This is

the most practical frequency separation method and you will likely use it more often. Let’s make

three copies of the original image beforehand and name them as high, medium, and low frequency

as follows: from top to bottom.

Switch off the visibility of the two top ones for a while, apply Surface blur to the bottom one to

get the low frequencies of the image.

Now to get the high and medium frequency layer by using Apply Image option we should subtract

first the low frequency layer from the medium frequency layer and then the same way subtract

the low frequency layer from the high frequency one.

So far on top we have exactly same tonal maps, but it is easy to fix with the help of High pass and

Gaussian blur filters. To select high frequencies, we apply High pass filter to the top layer, adjust

radius value gradually, keep reducing it until the small detalization is left. Normally the value is 1-

3 pixels.

Then on the medium detail layer we should compensate the increase in detalization on the high

frequency layer. To do that we should apply Gaussian blur filter with the same radius value, which

we have adjusted for the High pass filter.

Then on the medium detail layer we should compensate the increase in detalization on the high

frequency layer. To do that we should apply Gaussian blur filter with the same radius value, which

we have adjusted for the High pass filter.

Change the blend mode of the high and medium frequencies to the Linear light and here we have

an original image.

Now we can easily do the retouching of the volume and color of the image on the low frequency

layer using such tools as: Mixer Brush Tool and Stamp Tool and for medium and high frequency

layer detalization: Healing brush tool and Stamp Tool.